Multi-Label Classification

Predicting Typological Features in WALS using Language Embeddings and Conditional Probabilities: ÚFAL Submission to the SIGTYP 2020 Shared Task EMNLP 2020 Real-time Classification, Geolocation and Interactive Visualization of COVID-19 Information Shared on Social Media to Better Understand Global Developments EMNLP 2020 Reliable Multilabel Classification: Prediction with Partial Abstention AAAI 2020 SIGTYP 2020 Shared Task: Prediction of Typological Features EMNLP 2020 To Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer AAAI 2020 Two-stage Behavior Cloning for Spoken Dialogue System in Debt Collection IJCAI 2020 Weighted combination of BERT and N-GRAM features for Nuanced Arabic Dialect Identification COLING 2020 A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification ACL 2019 An Attentive Fine-Grained Entity Typing Model with Latent Type Representation EMNLP 2019 A Sequential Set Generation Method for Predicting Set-Valued Outputs AAAI 2019 AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification NeurIPS 2019 Collaboration Based Multi-Label Learning AAAI 2019 CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech ACL 2019 Copula Multi-label Learning NeurIPS 2019 Deep Learning with a Rethinking Structure for Multi-label Classification ACML 2019 Distributional Semantics Meets Multi-Label Learning AAAI 2019 DSINE: Deep Structural Influence Learning via Network Embedding AAAI 2019 Extreme Multi-Label Legal Text Classification: A Case Study in EU Legislation NAACL 2019 Hierarchical Classification Based on Label Distribution Learning AAAI 2019 Hierarchical Multi-label Classification of Text with Capsule Networks ACL 2019 Hierarchical Transfer Learning for Multi-label Text Classification ACL 2019 Incorporating Label Dependencies in Multilabel Stance Detection EMNLP 2019 LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning CVPR 2019 Learning Compact Model for Large-Scale Multi-Label Data AAAI 2019 Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification EMNLP 2019